最佳规模不变波纹表示和过人类的耳声波排放
1Department of Physics and NAST Centre - University of Rome 'Tor Vergata', Rome, Italy. moleti@roma2.infn.it.
概括
耳声发射 (OAEs) 最好用波波变换来表示,波波变换揭示了不同的耳生成机制. 这种时间频率分析可以改善OAE信号过和诊断应用.
科学领域:
- 听觉神经科学 听觉神经科学
- 声学 声学 在声学方面
- 信号处理 信号处理
背景情况:
- 耳声发射 (OAEs) 是由耳产生的声音,在耳道中测量.
- 可以在时间或频率领域分析OAE,通常用于过的里埃变换.
- OAE信号来自于来自不同耳区域和生成机制的波的叠加.
研究的目的:
- 探索波幅转换用于分析OAE信号的有效性.
- 为了利用耳缩放对称性,改善OAE信号表示和过.
- 增强基于OAE的诊断应用程序的特异性和敏感性.
主要方法:
- 使用波形变换用于时间频率表示的OAE信号的分析.
- 利用耳缩放对称性来区分OAE组件.
- 在时间频率领域应用过技术来分离OAE源.
主要成果:
- 波段转换提供了一个清晰的2D模式的OAE组件在时间频域.
- 不同的OAE生成机制 (固定波和固定位置) 呈现出不同的相梯度延迟.
- 基于波纹的过有效地将OAE组件分开,改善信号噪声比.
结论:
- 波纹表示是可视化和过OAE信号的最佳,尊重耳尺度不变.
- 根据其生成机制分离OAE组件可以提高诊断准确度.
- 波形分析为基于OAE的听力评估提供了显著的改进.
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